General
Filename(s) sub-014_task-Oddball_run-01_eeg.set
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Duration 00:07:13 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 216,088
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 0.00 Hz
Lowpass 250.00 Hz
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
General
Filename(s) sub-014_task-Oddball_run-01_eeg.set
MNE object type RawEEGLAB
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Duration 00:07:13 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 216,088
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
General
MNE object type Epochs
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Total number of events 170
Events counts ODDBALL RARE: 31
ODDBALL STANDARD: 139
Time range -2.000 – 2.000 s
Baseline off
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 170 rows × 7 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (off)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 50 STATUS/boundary
1 ODDBALL STANDARD 0.000
5 ODDBALL STANDARD 0.000
6 ODDBALL STANDARD 0.000
8 ODDBALL STANDARD -1.710 0.000
9 ODDBALL STANDARD -1.684
10 ODDBALL STANDARD 0.000
11 ODDBALL RARE 0.000
12 ODDBALL STANDARD 0.000
13 ODDBALL STANDARD 1.562 -1.858
14 ODDBALL RARE 0.000 -1.562
15 ODDBALL STANDARD 0.000
16 ODDBALL STANDARD -1.886
18 ODDBALL STANDARD -1.556
21 ODDBALL STANDARD -1.502 0.000
22 ODDBALL STANDARD 0.000
23 ODDBALL STANDARD 0.000
25 ODDBALL RARE 0.000
27 ODDBALL STANDARD -1.658
28 ODDBALL STANDARD 0.000
29 ODDBALL STANDARD 1.528 -1.552
30 ODDBALL RARE 0.000 -1.528
38 ODDBALL STANDARD -1.642
39 ODDBALL STANDARD 0.000
40 ODDBALL STANDARD -1.650
41 ODDBALL STANDARD -1.504
42 ODDBALL STANDARD 1.980 -1.762
43 ODDBALL RARE 0.000 -1.980
44 ODDBALL STANDARD 0.000
45 ODDBALL STANDARD -1.770
46 ODDBALL STANDARD -1.848
47 ODDBALL RARE 0.000
48 ODDBALL STANDARD 0.000
49 ODDBALL STANDARD -1.616
52 ODDBALL RARE 0.000 -1.916
53 ODDBALL STANDARD 0.000
54 ODDBALL STANDARD 0.000
55 ODDBALL STANDARD -1.864
56 ODDBALL STANDARD -1.516
57 ODDBALL RARE 0.000 1.966
58 ODDBALL STANDARD -1.966 0.000
59 ODDBALL STANDARD -1.812
60 ODDBALL STANDARD 0.000
62 ODDBALL STANDARD 0.000
63 ODDBALL STANDARD -1.672
64 ODDBALL STANDARD 0.000
65 ODDBALL STANDARD 1.938 0.000
66 ODDBALL RARE 0.000 -1.938
67 ODDBALL STANDARD 0.000
68 ODDBALL STANDARD 0.000
69 ODDBALL STANDARD 0.000
70 ODDBALL STANDARD -1.796
71 ODDBALL STANDARD 0.000
72 ODDBALL RARE 0.000 1.926
73 ODDBALL STANDARD -1.926 0.000
75 ODDBALL STANDARD -1.672
76 ODDBALL RARE 0.000
77 ODDBALL STANDARD 0.000
78 ODDBALL STANDARD -1.706
79 ODDBALL RARE 0.000 1.772
80 ODDBALL STANDARD -1.772 0.000
81 ODDBALL STANDARD 0.000
82 ODDBALL STANDARD 0.000
83 ODDBALL STANDARD 0.000
84 ODDBALL STANDARD -1.568
85 ODDBALL STANDARD 1.984 0.000
86 ODDBALL RARE 0.000 -1.984
87 ODDBALL STANDARD -1.562 0.000
88 ODDBALL STANDARD 0.000
89 ODDBALL STANDARD -1.546
90 ODDBALL STANDARD 0.000
91 ODDBALL STANDARD 0.000
92 ODDBALL STANDARD 1.616 0.000
94 ODDBALL STANDARD -1.592 0.000
95 ODDBALL STANDARD -1.572
96 ODDBALL STANDARD 0.000
97 ODDBALL STANDARD 0.000
98 ODDBALL RARE 0.000 1.648
99 ODDBALL STANDARD -1.648 0.000
100 ODDBALL STANDARD -1.988
103 ODDBALL STANDARD -1.628 0.000
104 ODDBALL STANDARD -1.874
105 ODDBALL RARE 0.000 1.514
106 ODDBALL STANDARD -1.514 0.000
107 ODDBALL STANDARD 0.000
108 ODDBALL STANDARD 0.000
109 ODDBALL STANDARD -1.920
110 ODDBALL STANDARD -1.896
111 ODDBALL RARE 0.000 1.994
112 ODDBALL STANDARD -1.994 0.000
113 ODDBALL STANDARD 0.000
114 ODDBALL RARE 0.000 1.630
115 ODDBALL STANDARD -1.630 0.000
116 ODDBALL STANDARD -1.782
117 ODDBALL STANDARD 0.000
118 ODDBALL STANDARD 0.000
119 ODDBALL RARE 0.000
120 ODDBALL STANDARD 0.000
121 ODDBALL STANDARD -1.884
122 ODDBALL STANDARD -1.896
123 ODDBALL STANDARD 0.000
124 ODDBALL STANDARD -1.918
125 ODDBALL STANDARD 1.852 0.000
126 ODDBALL RARE 0.000 -1.852
127 ODDBALL STANDARD -1.582 0.000
128 ODDBALL STANDARD 0.000
129 ODDBALL STANDARD -1.522
130 ODDBALL STANDARD 0.000
131 ODDBALL STANDARD 0.000
132 ODDBALL STANDARD -1.580
133 ODDBALL RARE 0.000 1.896
134 ODDBALL STANDARD -1.896 0.000
135 ODDBALL STANDARD -1.740
136 ODDBALL STANDARD -1.524
137 ODDBALL STANDARD 0.000
138 ODDBALL STANDARD 1.650 0.000
139 ODDBALL RARE 0.000 -1.650
140 ODDBALL STANDARD 0.000
141 ODDBALL STANDARD -1.822
142 ODDBALL STANDARD 0.000
143 ODDBALL RARE 0.000 1.556
144 ODDBALL STANDARD -1.556 0.000
145 ODDBALL STANDARD 0.000
146 ODDBALL STANDARD -1.946
147 ODDBALL STANDARD 1.962 -1.990
148 ODDBALL RARE 0.000 -1.962
149 ODDBALL STANDARD 0.000
150 ODDBALL STANDARD 0.000
151 ODDBALL STANDARD 0.000
152 ODDBALL STANDARD 0.000
153 ODDBALL STANDARD 1.784 -1.948
154 ODDBALL RARE 0.000 -1.784
155 ODDBALL STANDARD 0.000
160 ODDBALL STANDARD -1.580 0.000
161 ODDBALL STANDARD -1.518
162 ODDBALL STANDARD -1.780
165 ODDBALL STANDARD 0.000
166 ODDBALL STANDARD 0.000
167 ODDBALL RARE 0.000
168 ODDBALL STANDARD 0.000
169 ODDBALL STANDARD 0.000
170 ODDBALL STANDARD 1.756 -1.598
171 ODDBALL RARE 0.000 -1.756
172 ODDBALL STANDARD -1.876 0.000
173 ODDBALL STANDARD -1.676
174 ODDBALL STANDARD -1.772
175 ODDBALL STANDARD 0.000
176 ODDBALL STANDARD -1.578
177 ODDBALL STANDARD 0.000
178 ODDBALL STANDARD -1.850
179 ODDBALL STANDARD -1.812
180 ODDBALL STANDARD 1.930 0.000
181 ODDBALL RARE 0.000 -1.930
182 ODDBALL STANDARD 0.000
183 ODDBALL STANDARD -1.810
184 ODDBALL STANDARD -1.918
185 ODDBALL RARE 0.000
186 ODDBALL STANDARD 0.000
187 ODDBALL STANDARD -1.792
188 ODDBALL STANDARD -1.534
189 ODDBALL RARE 0.000
190 ODDBALL STANDARD 0.000
191 ODDBALL STANDARD 0.000
192 ODDBALL STANDARD 0.000
193 ODDBALL STANDARD -1.658
194 ODDBALL RARE 0.000
195 ODDBALL STANDARD 0.000
196 ODDBALL STANDARD 0.000
197 ODDBALL STANDARD -1.544
198 ODDBALL STANDARD -1.868
199 ODDBALL RARE 0.502 0.000

170 rows × 8 columns

ERP image (EEG)
Drop log
PSD
PSD calculated from 170 epochs (680.0 s).
Autoreject cleaning
Autoreject was run to produce cleaner epochs before fitting ICA. 30 epochs were rejected because more than {'eeg': 4} channels were bad (cross-validated n_interpolate limit; excluding globally bad and non-data channels, shown in white). Note that none of the blue segments were actually interpolated before submitting the data to ICA. This is following the recommended approach for ICA described in the the Autoreject documentation.
Method picard
Fit parameters fastica_it=5
max_iter=500
Fit 145 iterations on epochs (340170 samples)
ICA components 63
Available PCA components 63
Channel types eeg
ICA components marked for exclusion ICA000
ICA050
Original and cleaned signal
Scores for matching EOG patterns
Original and cleaned EOG epochs
ICA component topographies
ICA component topographies
ICA component topographies
ICA component topographies
ICA component properties
ICA component 0.
ICA component properties
ICA component 1.
ICA component properties
ICA component 2.
ICA component properties
ICA component 3.
ICA component properties
ICA component 4.
ICA component properties
ICA component 5.
ICA component properties
ICA component 6.
ICA component properties
ICA component 7.
ICA component properties
ICA component 8.
ICA component properties
ICA component 9.
ICA component properties
ICA component 10.
ICA component properties
ICA component 11.
ICA component properties
ICA component 12.
ICA component properties
ICA component 13.
ICA component properties
ICA component 14.
ICA component properties
ICA component 15.
ICA component properties
ICA component 16.
ICA component properties
ICA component 17.
ICA component properties
ICA component 18.
ICA component properties
ICA component 19.
ICA component properties
ICA component 20.
ICA component properties
ICA component 21.
ICA component properties
ICA component 22.
ICA component properties
ICA component 23.
ICA component properties
ICA component 24.
ICA component properties
ICA component 25.
ICA component properties
ICA component 26.
ICA component properties
ICA component 27.
ICA component properties
ICA component 28.
ICA component properties
ICA component 29.
ICA component properties
ICA component 30.
ICA component properties
ICA component 31.
ICA component properties
ICA component 32.
ICA component properties
ICA component 33.
ICA component properties
ICA component 34.
ICA component properties
ICA component 35.
ICA component properties
ICA component 36.
ICA component properties
ICA component 37.
ICA component properties
ICA component 38.
ICA component properties
ICA component 39.
ICA component properties
ICA component 40.
ICA component properties
ICA component 41.
ICA component properties
ICA component 42.
ICA component properties
ICA component 43.
ICA component properties
ICA component 44.
ICA component properties
ICA component 45.
ICA component properties
ICA component 46.
ICA component properties
ICA component 47.
ICA component properties
ICA component 48.
ICA component properties
ICA component 49.
ICA component properties
ICA component 50.
ICA component properties
ICA component 51.
ICA component properties
ICA component 52.
ICA component properties
ICA component 53.
ICA component properties
ICA component 54.
ICA component properties
ICA component 55.
ICA component properties
ICA component 56.
ICA component properties
ICA component 57.
ICA component properties
ICA component 58.
ICA component properties
ICA component 59.
ICA component properties
ICA component 60.
ICA component properties
ICA component 61.
ICA component properties
ICA component 62.
Events
General
MNE object type Epochs
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Total number of events 200
Events counts ODDBALL RARE: 40
ODDBALL STANDARD: 160
Time range -2.000 – 2.000 s
Baseline off
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 200 rows × 7 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (off)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 50 STATUS/boundary
0 ODDBALL STANDARD 0.000 -0.996
1 ODDBALL STANDARD 0.000
2 ODDBALL STANDARD -1.664
3 ODDBALL STANDARD 0.000
4 ODDBALL STANDARD -1.932
5 ODDBALL STANDARD 0.000
6 ODDBALL STANDARD 0.000
7 ODDBALL RARE 0.000 1.710
8 ODDBALL STANDARD -1.710 0.000
9 ODDBALL STANDARD -1.684
10 ODDBALL STANDARD 0.000
11 ODDBALL RARE 0.000
12 ODDBALL STANDARD 0.000
13 ODDBALL STANDARD 1.562 -1.858
14 ODDBALL RARE 0.000 -1.562
15 ODDBALL STANDARD 0.000
16 ODDBALL STANDARD -1.886
17 ODDBALL STANDARD -1.590
18 ODDBALL STANDARD -1.556
19 ODDBALL STANDARD 1.860 -1.994
20 ODDBALL RARE 0.000 -1.860
21 ODDBALL STANDARD -1.502 0.000
22 ODDBALL STANDARD 0.000
23 ODDBALL STANDARD 0.000
24 ODDBALL STANDARD 0.000
25 ODDBALL RARE 0.000
26 ODDBALL STANDARD 0.000
27 ODDBALL STANDARD -1.658
28 ODDBALL STANDARD 0.000
29 ODDBALL STANDARD 1.528 -1.552
30 ODDBALL RARE 0.000 -1.528
31 ODDBALL STANDARD 0.000
32 ODDBALL STANDARD 0.000
33 ODDBALL RARE 0.000
34 ODDBALL STANDARD 0.000
35 ODDBALL STANDARD 0.000
36 ODDBALL RARE 0.000 1.526
37 ODDBALL STANDARD -1.526 0.000
38 ODDBALL STANDARD -1.642
39 ODDBALL STANDARD 0.000
40 ODDBALL STANDARD -1.650
41 ODDBALL STANDARD -1.504
42 ODDBALL STANDARD 1.980 -1.762
43 ODDBALL RARE 0.000 -1.980
44 ODDBALL STANDARD 0.000
45 ODDBALL STANDARD -1.770
46 ODDBALL STANDARD -1.848
47 ODDBALL RARE 0.000
48 ODDBALL STANDARD 0.000
49 ODDBALL STANDARD -1.616
50 ODDBALL STANDARD 0.000
51 ODDBALL STANDARD 1.916 -1.908
52 ODDBALL RARE 0.000 -1.916
53 ODDBALL STANDARD 0.000
54 ODDBALL STANDARD 0.000
55 ODDBALL STANDARD -1.864
56 ODDBALL STANDARD -1.516
57 ODDBALL RARE 0.000 1.966
58 ODDBALL STANDARD -1.966 0.000
59 ODDBALL STANDARD -1.812
60 ODDBALL STANDARD 0.000
61 ODDBALL RARE 0.000
62 ODDBALL STANDARD 0.000
63 ODDBALL STANDARD -1.672
64 ODDBALL STANDARD 0.000
65 ODDBALL STANDARD 1.938 0.000
66 ODDBALL RARE 0.000 -1.938
67 ODDBALL STANDARD 0.000
68 ODDBALL STANDARD 0.000
69 ODDBALL STANDARD 0.000
70 ODDBALL STANDARD -1.796
71 ODDBALL STANDARD 0.000
72 ODDBALL RARE 0.000 1.926
73 ODDBALL STANDARD -1.926 0.000
74 ODDBALL STANDARD 0.000
75 ODDBALL STANDARD -1.672
76 ODDBALL RARE 0.000
77 ODDBALL STANDARD 0.000
78 ODDBALL STANDARD -1.706
79 ODDBALL RARE 0.000 1.772
80 ODDBALL STANDARD -1.772 0.000
81 ODDBALL STANDARD 0.000
82 ODDBALL STANDARD 0.000
83 ODDBALL STANDARD 0.000
84 ODDBALL STANDARD -1.568
85 ODDBALL STANDARD 1.984 0.000
86 ODDBALL RARE 0.000 -1.984
87 ODDBALL STANDARD -1.562 0.000
88 ODDBALL STANDARD 0.000
89 ODDBALL STANDARD -1.546
90 ODDBALL STANDARD 0.000
91 ODDBALL STANDARD 0.000
92 ODDBALL STANDARD 1.616 0.000
93 ODDBALL RARE 0.000 -1.616
94 ODDBALL STANDARD -1.592 0.000
95 ODDBALL STANDARD -1.572
96 ODDBALL STANDARD 0.000
97 ODDBALL STANDARD 0.000
98 ODDBALL RARE 0.000 1.648
99 ODDBALL STANDARD -1.648 0.000
100 ODDBALL STANDARD -1.988
101 ODDBALL STANDARD 1.534 0.000
102 ODDBALL RARE 0.000 -1.534
103 ODDBALL STANDARD -1.628 0.000
104 ODDBALL STANDARD -1.874
105 ODDBALL RARE 0.000 1.514
106 ODDBALL STANDARD -1.514 0.000
107 ODDBALL STANDARD 0.000
108 ODDBALL STANDARD 0.000
109 ODDBALL STANDARD -1.920
110 ODDBALL STANDARD -1.896
111 ODDBALL RARE 0.000 1.994
112 ODDBALL STANDARD -1.994 0.000
113 ODDBALL STANDARD 0.000
114 ODDBALL RARE 0.000 1.630
115 ODDBALL STANDARD -1.630 0.000
116 ODDBALL STANDARD -1.782
117 ODDBALL STANDARD 0.000
118 ODDBALL STANDARD 0.000
119 ODDBALL RARE 0.000
120 ODDBALL STANDARD 0.000
121 ODDBALL STANDARD -1.884
122 ODDBALL STANDARD -1.896
123 ODDBALL STANDARD 0.000
124 ODDBALL STANDARD -1.918
125 ODDBALL STANDARD 1.852 0.000
126 ODDBALL RARE 0.000 -1.852
127 ODDBALL STANDARD -1.582 0.000
128 ODDBALL STANDARD 0.000
129 ODDBALL STANDARD -1.522
130 ODDBALL STANDARD 0.000
131 ODDBALL STANDARD 0.000
132 ODDBALL STANDARD -1.580
133 ODDBALL RARE 0.000 1.896
134 ODDBALL STANDARD -1.896 0.000
135 ODDBALL STANDARD -1.740
136 ODDBALL STANDARD -1.524
137 ODDBALL STANDARD 0.000
138 ODDBALL STANDARD 1.650 0.000
139 ODDBALL RARE 0.000 -1.650
140 ODDBALL STANDARD 0.000
141 ODDBALL STANDARD -1.822
142 ODDBALL STANDARD 0.000
143 ODDBALL RARE 0.000 1.556
144 ODDBALL STANDARD -1.556 0.000
145 ODDBALL STANDARD 0.000
146 ODDBALL STANDARD -1.946
147 ODDBALL STANDARD 1.962 -1.990
148 ODDBALL RARE 0.000 -1.962
149 ODDBALL STANDARD 0.000
150 ODDBALL STANDARD 0.000
151 ODDBALL STANDARD 0.000
152 ODDBALL STANDARD 0.000
153 ODDBALL STANDARD 1.784 -1.948
154 ODDBALL RARE 0.000 -1.784
155 ODDBALL STANDARD 0.000
156 ODDBALL STANDARD 0.000
157 ODDBALL STANDARD 0.000
158 ODDBALL STANDARD 0.000
159 ODDBALL RARE 0.000 1.580
160 ODDBALL STANDARD -1.580 0.000
161 ODDBALL STANDARD -1.518
162 ODDBALL STANDARD -1.780
163 ODDBALL STANDARD 1.952 0.000
164 ODDBALL RARE 0.000 -1.952
165 ODDBALL STANDARD 0.000
166 ODDBALL STANDARD 0.000
167 ODDBALL RARE 0.000
168 ODDBALL STANDARD 0.000
169 ODDBALL STANDARD 0.000
170 ODDBALL STANDARD 1.756 -1.598
171 ODDBALL RARE 0.000 -1.756
172 ODDBALL STANDARD -1.876 0.000
173 ODDBALL STANDARD -1.676
174 ODDBALL STANDARD -1.772
175 ODDBALL STANDARD 0.000
176 ODDBALL STANDARD -1.578
177 ODDBALL STANDARD 0.000
178 ODDBALL STANDARD -1.850
179 ODDBALL STANDARD -1.812
180 ODDBALL STANDARD 1.930 0.000
181 ODDBALL RARE 0.000 -1.930
182 ODDBALL STANDARD 0.000
183 ODDBALL STANDARD -1.810
184 ODDBALL STANDARD -1.918
185 ODDBALL RARE 0.000
186 ODDBALL STANDARD 0.000
187 ODDBALL STANDARD -1.792
188 ODDBALL STANDARD -1.534
189 ODDBALL RARE 0.000
190 ODDBALL STANDARD 0.000
191 ODDBALL STANDARD 0.000
192 ODDBALL STANDARD 0.000
193 ODDBALL STANDARD -1.658
194 ODDBALL RARE 0.000
195 ODDBALL STANDARD 0.000
196 ODDBALL STANDARD 0.000
197 ODDBALL STANDARD -1.544
198 ODDBALL STANDARD -1.868
199 ODDBALL RARE 0.502 0.000

200 rows × 8 columns

ERP image (EEG)
No epochs exceeded the rejection thresholds. Nothing was dropped.
PSD
PSD calculated from 8 epochs (32.0 s).
Method picard
Fit parameters fastica_it=5
max_iter=500
Fit 145 iterations on epochs (340170 samples)
ICA components 63
Available PCA components 63
Channel types eeg
ICA components marked for exclusion ICA000
ICA050
Original and cleaned signal
ICA component topographies
ICA component properties
ICA component 0.
ICA component properties
ICA component 50.
General
Filename(s) sub-014_task-Oddball_run-01_proc-filt_raw.fif
MNE object type Raw
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Duration 00:07:13 (HH:MM:SS)
Sampling frequency 500.00 Hz
Time points 216,088
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Time series
Segment 1 of 5
Time series
Segment 2 of 5
Time series
Segment 3 of 5
Time series
Segment 4 of 5
Time series
Segment 5 of 5
PSD
autoreject_local cleaning
Autoreject was run to produce cleaner epochs. 75 epochs were rejected because more than {'eeg': 8} channels were bad (cross-validated n_interpolate limit; excluding globally bad and non-data channels, shown in white).
General
Filename(s) sub-014_task-Oddball_proc-ica_epo.fif
MNE object type EpochsFIF
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Total number of events 125
Events counts ODDBALL RARE: 23
ODDBALL STANDARD: 102
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Metadata 125 rows × 7 columns
Channels
EEG
EOG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Epoch # event_name ODDBALL DONE ODDBALL RARE ODDBALL STANDARD ODDBALL START STATUS/S 50 STATUS/boundary
5 ODDBALL STANDARD 0.000 None None
7 ODDBALL RARE 0.000 1.710 None None
9 ODDBALL STANDARD -1.684 None None
10 ODDBALL STANDARD 0.000 None None
11 ODDBALL RARE 0.000 None None
14 ODDBALL RARE 0.000 -1.562 None None
15 ODDBALL STANDARD 0.000 None None
16 ODDBALL STANDARD -1.886 None None
17 ODDBALL STANDARD -1.590 None None
18 ODDBALL STANDARD -1.556 None None
19 ODDBALL STANDARD 1.860 -1.994 None None
20 ODDBALL RARE 0.000 -1.860 None None
21 ODDBALL STANDARD -1.502 0.000 None None
22 ODDBALL STANDARD 0.000 None None
23 ODDBALL STANDARD 0.000 None None
24 ODDBALL STANDARD 0.000 None None
25 ODDBALL RARE 0.000 None None
26 ODDBALL STANDARD 0.000 None None
27 ODDBALL STANDARD -1.658 None None
28 ODDBALL STANDARD 0.000 None None
29 ODDBALL STANDARD 1.528 -1.552 None None
30 ODDBALL RARE 0.000 -1.528 None None
31 ODDBALL STANDARD 0.000 None None
32 ODDBALL STANDARD 0.000 None None
33 ODDBALL RARE 0.000 None None
34 ODDBALL STANDARD 0.000 None None
37 ODDBALL STANDARD -1.526 0.000 None None
38 ODDBALL STANDARD -1.642 None None
39 ODDBALL STANDARD 0.000 None None
40 ODDBALL STANDARD -1.650 None None
41 ODDBALL STANDARD -1.504 None None
42 ODDBALL STANDARD 1.980 -1.762 None None
43 ODDBALL RARE 0.000 -1.980 None None
44 ODDBALL STANDARD 0.000 None None
45 ODDBALL STANDARD -1.770 None None
46 ODDBALL STANDARD -1.848 None None
47 ODDBALL RARE 0.000 None None
48 ODDBALL STANDARD 0.000 None None
49 ODDBALL STANDARD -1.616 None None
53 ODDBALL STANDARD 0.000 None None
54 ODDBALL STANDARD 0.000 None None
56 ODDBALL STANDARD -1.516 None None
57 ODDBALL RARE 0.000 1.966 None None
58 ODDBALL STANDARD -1.966 0.000 None None
59 ODDBALL STANDARD -1.812 None None
62 ODDBALL STANDARD 0.000 None None
63 ODDBALL STANDARD -1.672 None None
64 ODDBALL STANDARD 0.000 None None
65 ODDBALL STANDARD 1.938 0.000 None None
66 ODDBALL RARE 0.000 -1.938 None None
67 ODDBALL STANDARD 0.000 None None
68 ODDBALL STANDARD 0.000 None None
71 ODDBALL STANDARD 0.000 None None
75 ODDBALL STANDARD -1.672 None None
76 ODDBALL RARE 0.000 None None
77 ODDBALL STANDARD 0.000 None None
78 ODDBALL STANDARD -1.706 None None
80 ODDBALL STANDARD -1.772 0.000 None None
81 ODDBALL STANDARD 0.000 None None
82 ODDBALL STANDARD 0.000 None None
83 ODDBALL STANDARD 0.000 None None
84 ODDBALL STANDARD -1.568 None None
85 ODDBALL STANDARD 1.984 0.000 None None
86 ODDBALL RARE 0.000 -1.984 None None
87 ODDBALL STANDARD -1.562 0.000 None None
88 ODDBALL STANDARD 0.000 None None
89 ODDBALL STANDARD -1.546 None None
90 ODDBALL STANDARD 0.000 None None
92 ODDBALL STANDARD 1.616 0.000 None None
93 ODDBALL RARE 0.000 -1.616 None None
94 ODDBALL STANDARD -1.592 0.000 None None
95 ODDBALL STANDARD -1.572 None None
96 ODDBALL STANDARD 0.000 None None
104 ODDBALL STANDARD -1.874 None None
105 ODDBALL RARE 0.000 1.514 None None
106 ODDBALL STANDARD -1.514 0.000 None None
107 ODDBALL STANDARD 0.000 None None
112 ODDBALL STANDARD -1.994 0.000 None None
113 ODDBALL STANDARD 0.000 None None
114 ODDBALL RARE 0.000 1.630 None None
115 ODDBALL STANDARD -1.630 0.000 None None
116 ODDBALL STANDARD -1.782 None None
117 ODDBALL STANDARD 0.000 None None
118 ODDBALL STANDARD 0.000 None None
119 ODDBALL RARE 0.000 None None
120 ODDBALL STANDARD 0.000 None None
121 ODDBALL STANDARD -1.884 None None
122 ODDBALL STANDARD -1.896 None None
123 ODDBALL STANDARD 0.000 None None
126 ODDBALL RARE 0.000 -1.852 None None
127 ODDBALL STANDARD -1.582 0.000 None None
129 ODDBALL STANDARD -1.522 None None
130 ODDBALL STANDARD 0.000 None None
131 ODDBALL STANDARD 0.000 None None
132 ODDBALL STANDARD -1.580 None None
133 ODDBALL RARE 0.000 1.896 None None
137 ODDBALL STANDARD 0.000 None None
138 ODDBALL STANDARD 1.650 0.000 None None
139 ODDBALL RARE 0.000 -1.650 None None
140 ODDBALL STANDARD 0.000 None None
141 ODDBALL STANDARD -1.822 None None
149 ODDBALL STANDARD 0.000 None None
150 ODDBALL STANDARD 0.000 None None
151 ODDBALL STANDARD 0.000 None None
152 ODDBALL STANDARD 0.000 None None
153 ODDBALL STANDARD 1.784 -1.948 None None
159 ODDBALL RARE 0.000 1.580 None None
165 ODDBALL STANDARD 0.000 None None
168 ODDBALL STANDARD 0.000 None None
169 ODDBALL STANDARD 0.000 None None
170 ODDBALL STANDARD 1.756 -1.598 None None
171 ODDBALL RARE 0.000 -1.756 None None
172 ODDBALL STANDARD -1.876 0.000 None None
179 ODDBALL STANDARD -1.812 None None
180 ODDBALL STANDARD 1.930 0.000 None None
183 ODDBALL STANDARD -1.810 None None
184 ODDBALL STANDARD -1.918 None None
185 ODDBALL RARE 0.000 None None
190 ODDBALL STANDARD 0.000 None None
191 ODDBALL STANDARD 0.000 None None
192 ODDBALL STANDARD 0.000 None None
195 ODDBALL STANDARD 0.000 None None
196 ODDBALL STANDARD 0.000 None None
197 ODDBALL STANDARD -1.544 None None
198 ODDBALL STANDARD -1.868 None None

125 rows × 8 columns

ERP image (EEG)
Drop log
PSD
PSD calculated from 8 epochs (32.0 s).
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Aggregation average of 102 epochs
Condition ODDBALL STANDARD
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Channels
EEG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Time course (EEG)
Topographies
Time point: -2.000 s
Topographies
Time point: -1.800 s
Topographies
Time point: -1.600 s
Topographies
Time point: -1.400 s
Topographies
Time point: -1.200 s
Topographies
Time point: -1.000 s
Topographies
Time point: -0.800 s
Topographies
Time point: -0.600 s
Topographies
Time point: -0.400 s
Topographies
Time point: -0.200 s
Topographies
Time point: 0.000 s
Topographies
Time point: 0.200 s
Topographies
Time point: 0.400 s
Topographies
Time point: 0.600 s
Topographies
Time point: 0.800 s
Topographies
Time point: 1.000 s
Topographies
Time point: 1.200 s
Topographies
Time point: 1.400 s
Topographies
Time point: 1.600 s
Topographies
Time point: 1.800 s
Topographies
Time point: 2.000 s
Global field power
General
MNE object type EvokedArray
Measurement date Unknown
Participant sub-014
Experimenter Unknown
Acquisition
Aggregation average of 23 epochs
Condition ODDBALL RARE
Time range -2.000 – 2.000 s
Baseline -0.200 – 0.000 s
Sampling frequency 500.00 Hz
Time points 2,001
Channels
EEG
Head & sensor digitization 66 points
Filters
Highpass 1.00 Hz
Lowpass 120.00 Hz
Projections Average EEG reference (on)
Time course (EEG)
Topographies
Time point: -2.000 s
Topographies
Time point: -1.800 s
Topographies
Time point: -1.600 s
Topographies
Time point: -1.400 s
Topographies
Time point: -1.200 s
Topographies
Time point: -1.000 s
Topographies
Time point: -0.800 s
Topographies
Time point: -0.600 s
Topographies
Time point: -0.400 s
Topographies
Time point: -0.200 s
Topographies
Time point: 0.000 s
Topographies
Time point: 0.200 s
Topographies
Time point: 0.400 s
Topographies
Time point: 0.600 s
Topographies
Time point: 0.800 s
Topographies
Time point: 1.000 s
Topographies
Time point: 1.200 s
Topographies
Time point: 1.400 s
Topographies
Time point: 1.600 s
Topographies
Time point: 1.800 s
Topographies
Time point: 2.000 s
Global field power
TFR Power: ODDBALL STANDARD
TFR Power: ODDBALL STANDARD
TFR ITC: ODDBALL STANDARD
TFR Inter-Trial Coherence: ODDBALL STANDARD
TFR Power: ODDBALL RARE
TFR Power: ODDBALL RARE
TFR ITC: ODDBALL RARE
TFR Inter-Trial Coherence: ODDBALL RARE
Covariance matrix
Singular values
Whitening: ODDBALL STANDARD
Whitening: ODDBALL RARE 
  # Default settings for data processing and analysis.

from collections.abc import Callable, Sequence
import sys
from typing import Annotated, Any, Literal

from annotated_types import Ge, Interval, Len, MinLen
from mne import Covariance
from mne_bids import BIDSPath

from mne_bids_pipeline.typing import (
     ArbitraryContrast,
     DigMontageType,
     FloatArrayLike,
     PathLike,
 )

import argparse

import numpy as np

bids_root = "./data_split/"

interactive = False


args = [arg for arg in sys.argv if arg.startswith("--task") or not arg.startswith("-")]
parser = argparse.ArgumentParser()
parser.add_argument("ignored", nargs="*")
parser.add_argument(
    "--task", choices=("Gambling","Oddball","Axon"), required=True
)
task = parser.parse_args(args).task 
sessions = "all"

runs = "all" # Always 01 anyway
#crop_runs: tuple[float, float] | None = None
subjects = "all"

ch_types = ["eeg"] # not considering eog channels 
data_type = "eeg" # redundant


eog_channels = None # has to be none, because we have actual EOG channels

eeg_reference = "average" # default setting

#TODO check if this actually applies montage
eeg_template_montage = None # custom montage

#drop_channels: Sequence[str] = []

# Read full_config.py for more context
# Might make sense to restrict this?
analyze_channels = "ch_types"


read_raw_bids_verbose = 'error' # Don't log everyting, since files are not perfectly BIDS compliant

#FFT Power spectrum
plot_psd_for_runs = "all" # Default value



######################### Preprocessing #########################


# Read full_config.py for more context
# Paper doesn't mention breaks, but could have still happened since gameplay was quite long
find_breaks: bool = True # Default is false

min_break_duration: float = 15.0 # Default value

# Makes sense, also considering our epoching
t_break_annot_start_after_previous_event: float = 5.0 # Default value
t_break_annot_stop_before_next_event: float = 5.0 # Default value




# ## Bad channel detection
#
# Read full_config.py for context of the used algorithm

# Original paper simply removed most ventral electrodes (leaving 60).
# Is there something like this for eeg channels?
#find_flat_channels_meg: bool = True # Default is False
#find_noisy_channels_meg: bool = True # Default is False


# %%
# ## Maxwell filter

# Read full_config.py for context
# Might make sense to enable? There are many parameters than can be set
# Chose to keep disabled since it doesn't seem to be common? (esp. for EEG data)
# According to the samples: https://mne.tools/mne-bids-pipeline/stable/examples/examples.html
# use_maxwell_filter: bool = False
# mf_st_duration: float | None = None


# ## Filtering & resampling

# ### Filtering
#
# Read full_config.py for context (!!!)
# mne-bids-pipeline does not allow ICA if l_freq is below 1 Hz!! See ica_l_freq in full_config.py
l_freq: float | None = 1 # Paper uses 0.1 Hz, full_config.py recommends 1 Hz
h_freq: float | None = 120 # Paper uses 20 Hz, full_config.py recommends 40 or 120 depending on type of analysis

#TODO Why does this default to None? See if powerline noise is filtered elsewhere
notch_freq: float | Sequence[float] | None = 60 # Default is None
# notch_trans_bandwidth: float = 1.0



# ### Resampling
#
# Not necessary since already 500Hz
# raw_resample_sfreq: float | None = None


# ## Epoching

# Could be useful if event names are not as desired
# rename_events: dict = dict()
# on_rename_missing_events: Literal["ignore", "warn", "raise"] = "raise"

# TODO TODO TODO TODO

#1) missile launch button press (SHOOT_BUTTON)
#2) collect star (COLLECT_STAR)
#3) collect ammo box (COLLECT_AMMO)
#4) crash into wall (PLAYER_CRASH_WALL)
#5) crash into enemy (PLAYER_CRASH_ENEMY)
#6) missile hit enemy (MISSILE_HIT_ENEMY)

"""
The paper describes issues with the "PLAYER_CRASH_WALL" and "COLLECT_STAR" events often occuring in rapid succession, where only the first one is kept.
The filtering has already been done in step 01, and the offending events are now marked as "IGNORE PLAYER_CRASH_WALL" and "IGNORE COLLECT_STAR"
"""

conditions = []

if(task == "Gambling"): #"Wins and losses" Exemplar events
    conditions = ["GAMBLING LOSS", "GAMBLING WIN"]
elif(task == "Oddball"): #"Target detection" Exemplar events
    conditions = ["ODDBALL STANDARD", "ODDBALL RARE"]
elif(task == "Axon"):
    #There are also "GAME OVER" and "GAME START", but they occur only once (?)
    conditions = ["SHOOT_BUTTON", "MISSILE_HIT_ENEMY", "COLLECT_STAR", "COLLECT_AMMO", "PLAYER_CRASH_ENEMY", "PLAYER_CRASH_WALL"]

#TODO Check whether these epoch timings from the paper make sense. They seem unusually long?
epochs_tmin: float = -2
epochs_tmax: float = 2

#Also from the paper
baseline: tuple[float | None, float | None] | None = (-0.2, 0)


# ## Artifact removal

# ### SSP, ICA, and artifact regression

#TODO check if this performs the intended behavior (removing eye artifacts from eeg by using the eog channels)
# For some reason, this throws an error :(
#regress_artifact = {
#    "picks": "eeg", 
#    "picks_artifact": ["HEOG", "VEOG"]
#}

#TODO maybe SSP could make sense too?
# For SSP there are some more variables aswell
spatial_filter: Literal["ssp", "ica"] | None = "ica"
# """
# !!! warning "ICA requires manual intervention!"
#     After the automatic ICA component detection step, review each subject's
#     `*_report.html` report file check if the set of ICA components to be removed
#     is correct. Adjustments should be made to the `*_proc-ica_components.tsv`
#     file, which will then be used in the step that is applied during ICA.

#     ICA component order can be considered arbitrary, so any time the ICA is
#     re-fit – i.e., if you change any parameters that affect steps prior to
#     ICA fitting – this file will need to be updated!
# """

#TODO check percentage of rejected epochs. Paper states 3.27%
ica_reject: dict[str, float] | Literal["autoreject_local"] | None = "autoreject_local"


# Can go as high as 3000 for convergence
# ica_max_iterations: int = 500

# Read full_config.py for context
# None == 0.9999 might be optimal if only artifact removal is of interest
# ica_n_components: float | int | None = None


#TODO Browse raw data to find actual eog and ecg thresholds
#Read full_config.py for tips on how to do this
# ica_ecg_threshold: float = 0.1
# """
# The cross-trial phase statistics (CTPS) threshold parameter used for detecting
# ECG-related ICs.
# """

# ica_eog_threshold: float = 3.0
# """
# The threshold to use during automated EOG classification. Lower values mean
# that more ICs will be identified as EOG-related. If too low, the
# false-alarm rate increases dramatically.
# """

#For rejection after ICA
#Probably makes the most sense for data with moderate amounts of artifacts
reject: dict[str, float] | Literal["autoreject_global", "autoreject_local"] | None = "autoreject_local"#(
#     None
# )


# In the paper a median of 2 electrodes (range 1 to 3) was interpolated, so add these values
autoreject_n_interpolate: FloatArrayLike = [1,2,3, 4, 8, 16] # Default [4, 8, 16]
# """
# The maximum number of bad channels in an epoch that `autoreject` local will try to
# interpolate. The optimal number among this list will be estimated using a
# cross-validation procedure; this means that the more elements are provided here, the
# longer the `autoreject` run will take. If the number of bad channels in an epoch
# exceeds this value, the channels won't be interpolated and the epoch will be dropped.

# Read full_config.py for more context
# Has many more parameters
decode = False # Default is True

# ## Time-frequency analysis

# Just put in all events for now (?)
time_frequency_conditions: Sequence[str] = conditions

#TODO look at the data to find optimal values
# time_frequency_freq_min: float | None = 8
# time_frequency_freq_max: float | None = 40

time_frequency_freq_min = 1  # minimum frequency in Hz
time_frequency_freq_max = 50  # maximum frequency in Hz
#1 to 50 Hz in 49 logarithmically spaced steps
frequencies = np.logspace(np.log10(time_frequency_freq_min), np.log10(time_frequency_freq_max), 49)

# sigma
time_frequency_cycles = 4 / (2 * np.pi * frequencies)

# time_frequency_subtract_evoked: bool = False

time_frequency_baseline: tuple[float, float] | None = (-0.3, -0.2)
time_frequency_baseline_mode: str = "logratio" # Default is "mean"
time_frequency_crop: dict | None = dict(tmin=-0.5, tmax=1, fmin=1, fmax=50) # Default in None



n_jobs: int = 12
# """
# Specifies how many subjects you want to process in parallel. If `1`, disables
# parallel processing.
# """


  Platform             Linux-6.5.0-44-generic-x86_64-with-glibc2.38
Python               3.11.6 (main, Apr 10 2024, 17:26:07) [GCC 13.2.0]
Executable           /home/okk/.local/bin/python3.11
CPU                  x86_64 (12 cores)
Memory               62.7 GB

Core
├☑ mne               1.8.0 (latest release)
├☑ numpy             1.26.4 (OpenBLAS 0.3.23.dev with 1 thread)
├☑ scipy             1.12.0
└☑ matplotlib        3.8.2 (backend=agg)

Numerical (optional)
├☑ sklearn           1.3.2
├☑ numba             0.58.1
├☑ nibabel           5.3.2
├☑ pandas            1.5.3
├☑ h5io              0.2.4
├☑ h5py              3.10.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.44.2 (OpenGL 4.5.0 NVIDIA 535.171.04 via NVIDIA GeForce GTX 1060 6GB/PCIe/SSE2)
├☑ pyvistaqt         0.11.1
├☑ vtk               9.3.1
├☑ qtpy              2.4.2 (PyQt5=5.15.14)
├☑ pyqtgraph         0.13.7
└☐ unavailable       ipympl, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.16.0
├☑ mne-bids-pipeline 1.9.0
├☑ eeglabio          0.0.3
├☑ edfio             0.4.5
├☑ pybv              0.7.6
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy